Breast Tissue 3D Segmentation and Visualization on MRI
Tissue segmentation and visualization are useful for breast lesion detection and quantitative analysis. In this paper, a 3D segmentation algorithm based on Kernel-based Fuzzy C-Means (KFCM) is proposed to separate the breast MR images into different tissues. Then, an improved volume rendering algori...
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| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
Wiley
2013-01-01
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| Series: | International Journal of Biomedical Imaging |
| Online Access: | http://dx.doi.org/10.1155/2013/859746 |
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| _version_ | 1832567585475919872 |
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| author | Hong Song Xiangfei Cui Feifei Sun |
| author_facet | Hong Song Xiangfei Cui Feifei Sun |
| author_sort | Hong Song |
| collection | DOAJ |
| description | Tissue segmentation and visualization are useful for breast lesion detection and quantitative analysis. In this paper, a 3D segmentation algorithm based on Kernel-based Fuzzy C-Means (KFCM) is proposed to separate the breast MR images into different tissues. Then, an improved volume rendering algorithm based on a new transfer function model is applied to implement 3D breast visualization. Experimental results have been shown visually and have achieved reasonable consistency. |
| format | Article |
| id | doaj-art-4f82e86a18504e5da0884693b4cff01a |
| institution | Kabale University |
| issn | 1687-4188 1687-4196 |
| language | English |
| publishDate | 2013-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | International Journal of Biomedical Imaging |
| spelling | doaj-art-4f82e86a18504e5da0884693b4cff01a2025-02-03T01:01:07ZengWileyInternational Journal of Biomedical Imaging1687-41881687-41962013-01-01201310.1155/2013/859746859746Breast Tissue 3D Segmentation and Visualization on MRIHong Song0Xiangfei Cui1Feifei Sun2School of Software, Beijing Institute of Technology, 5 South Zhongguancun Street, Haidian District, Beijing 100081, ChinaSchool of Computer Science & Technology, Beijing Institute of Technology, 5 South Zhongguancun Street, Haidian District, Beijing 100081, ChinaSchool of Computer Science & Technology, Beijing Institute of Technology, 5 South Zhongguancun Street, Haidian District, Beijing 100081, ChinaTissue segmentation and visualization are useful for breast lesion detection and quantitative analysis. In this paper, a 3D segmentation algorithm based on Kernel-based Fuzzy C-Means (KFCM) is proposed to separate the breast MR images into different tissues. Then, an improved volume rendering algorithm based on a new transfer function model is applied to implement 3D breast visualization. Experimental results have been shown visually and have achieved reasonable consistency.http://dx.doi.org/10.1155/2013/859746 |
| spellingShingle | Hong Song Xiangfei Cui Feifei Sun Breast Tissue 3D Segmentation and Visualization on MRI International Journal of Biomedical Imaging |
| title | Breast Tissue 3D Segmentation and Visualization on MRI |
| title_full | Breast Tissue 3D Segmentation and Visualization on MRI |
| title_fullStr | Breast Tissue 3D Segmentation and Visualization on MRI |
| title_full_unstemmed | Breast Tissue 3D Segmentation and Visualization on MRI |
| title_short | Breast Tissue 3D Segmentation and Visualization on MRI |
| title_sort | breast tissue 3d segmentation and visualization on mri |
| url | http://dx.doi.org/10.1155/2013/859746 |
| work_keys_str_mv | AT hongsong breasttissue3dsegmentationandvisualizationonmri AT xiangfeicui breasttissue3dsegmentationandvisualizationonmri AT feifeisun breasttissue3dsegmentationandvisualizationonmri |